Slow wave detection in sleeping mice: Comparison of traditional and machine learning methods.

Journal: Journal of neuroscience methods
PMID: 30125590

Abstract

BACKGROUND: During slow-wave sleep the electroencephalographic (EEG) and local field potential (LFP) recordings reveal the presence of large amplitude slow waves. Systematic extraction of individual slow waves is not trivial.

Authors

  • Olga Bukhtiyarova
    Department of Psychiatry and Neuroscience, School of Medicine Université Laval, Québec, G1V 0A6, Canada; CERVO Brain Research Center, Local F-6500, 2601 de la Canardière, Québec, G1J 2G3, Canada.
  • Sara Soltani
    Department of Psychiatry and Neuroscience, School of Medicine Université Laval, Québec, G1V 0A6, Canada; CERVO Brain Research Center, Local F-6500, 2601 de la Canardière, Québec, G1J 2G3, Canada.
  • Sylvain Chauvette
    CERVO Brain Research Center, Local F-6500, 2601 de la Canardière, Québec, G1J 2G3, Canada.
  • Igor Timofeev
    Department of Psychiatry and Neuroscience, School of Medicine Université Laval, Québec, G1V 0A6, Canada; CERVO Brain Research Center, Local F-6500, 2601 de la Canardière, Québec, G1J 2G3, Canada. Electronic address: Igor.Timofeev@fmed.ulaval.ca.

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